Review of AI-Based Traffic Management Systems in Urban Mobility

Abstract

Efficient air management directly impacts the socioeconomic development of smart cities. Developing intelligent and autonomous technologies has enabled autonomous vehicles to have self-learning, perception, global orientation, and decision-making capabilities, providing a technical basis for realizing intelligent traffic management. In recent years, numerous intelligent intersection management systems have shown advantages in heterogeneous traffic management, and a qualitative or quantitative review of their performance is necessary. This paper defines the classification of intelligent intersection management and the procedure for conducting this review. Ninety-three intelligent traffic management systems with various combinations of unsignalized or signalized intersection handling, the position of control objects, and the specific functions of intelligent traffic management are collected to reveal the development trend, technical route, and field application of the current intelligent intersection management system.